The characterization of the Atmospheric Boundary Layer (ABL) under different conditions is important for weather and climate models, but also for wind energy applications or air quality studies. One of the most important features that makes ABL description complex is the turbulent mixing, responsible for the redistribution of momentum, mass, temperature and humidity within this layer. The sources of turbulent mixing exhibit significant temporal and spatial variations, and include buoyancy (that produces upwards convective mixing), wind shear (mechanical mixing) or radiative cooling in stratocumulus clouds
(producing top-down convective mixing).
In the present work, we used a standard classification methodology to characterize ABL in terms of mean horizontal wind and turbulence sources with Doppler lidar measurements. We used the data gathered at PolWET peatland site in Rzecin (52.75°N, 16.30°E, 54 m a.s.l.) during POLIMOS 2018 campaign, representing one of the largest natural terrestrial carbon storages that have a strong interaction with the climate system.